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| http://dx.doi.org/10.1016/j.eclinm.2020.100473 | DOI Listing |
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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.
J Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFOngoing post-COVID-19 symptoms and complaints among healthcare professionals.
J Infect Dev Ctries
December 2024
Family Medicine, Merkezefendi District Health Directorate, Denizli, Turkey.
Introduction: Post-COVID-19 syndrome refers to the occurrence of symptoms lasting more than 4 weeks in individuals who have recovered from COVID-19. This study aims to investigate the post-COVID-19 symptoms in healthcare professionals.
Methodology: This descriptive study included 166 healthcare professionals who had tested positive for COVID-19 via PCR at least four weeks prior and subsequently presented to the Family Medicine Clinic at Pamukkale University Training and Research Hospital.
Background: Previous studies on public compliance with policies during pandemics have primarily explained it from the perspectives of motivation theory, focusing on normative motivation (trust in policy-making institutions) and calculative motivation (fear of contracting the disease). However, the social amplification of a risk framework highlights that the media plays a key role in this process.
Objective: This study aims to integrate the motivation theory of compliance behavior and the social amplification of risk framework to uncover the "black boxes" of the mechanisms by which normative motivation and calculative motivation influence public policy compliance behavior through the use of media.
Analysis of COVID-19 patient outcomes with molnupiravir treatment and the role of risk factors: a single-centre retrospective descriptive study.
Cent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objective: This study aims to describe the outcomes of COVID-19 patients treated with molnupiravir and to explore the associations with various risk factors.
Methods: We conducted a single-centre, descriptive, retrospective study without a comparison group.
Results: Out of 141 patients, 70 (49.
Findings on impact of COVID-19 on mental health using keyword visualization.
Cent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objective: The EU global health priorities focus on ensuring better health and well-being for people throughout their lives as well as on reducing inequalities between countries. The COVID-19 pandemic can be understood as a set of several events that directly or indirectly affected the mental health of people around the world. The aim of this study was to identify the main groupings of co-occurrence of all keywords related to the main keywords "COVID-19" and "mental health" acquired through search in the Scopus database using the VOSviewer tool.
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